2 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.ME2022
Imputation Maximization Stochastic Approximation with Application to Generalized Linear Mixed Models
Zexi Song, Zhiqiang Tan
Generalized linear mixed models are useful in studying hierarchical data with possibly non-Gaussian responses. However, the intractability of likelihood functions poses challenges…
stat.CO2021
On Irreversible Metropolis Sampling Related to Langevin Dynamics
Zexi Song, Zhiqiang Tan
There has been considerable interest in designing Markov chain Monte Carlo algorithms by exploiting numerical methods for Langevin dynamics, which includes Hamiltonian dynamics as…
stat.CO2020★ 2 cited
Hamiltonian Assisted Metropolis Sampling
Zexi Song, Zhiqiang Tan
Various Markov chain Monte Carlo (MCMC) methods are studied to improve upon random walk Metropolis sampling, for simulation from complex distributions. Examples include Metropolis-…